Media & Entertainment

Actionable rights and deal intelligence for Media & Entertainment.

Media and entertainment companies manage licensing, talent, and distribution agreements. xMentium structures their rights, windows, restrictions, and financial terms so teams can research and use them with confidence.

01 The Media & Entertainment Challenge

Media & Entertainment has the data. The challenge: putting it to work.

Rights and deal information is fragmented across PDFs, spreadsheets, repositories, legacy systems, acquired companies, and business units. Teams cannot easily answer questions across the complete document estate, and AI tools lack consistent, governed data for reliable research and workflows. That's where xMentium comes in.

88%
Companies Using AI
95%
Pilots Struggling to Produce ROI
80%
Companies Not Seeing Financial ROI
25%
Time Wasted Searching for Documents

Data Sources: MIT Project NANDA, The State of AI in Business 2025. McKinsey, The State of AI 2025 (November 2025, n=1,993 executives, 105 countries).

02 What We Do

Turn complex documents into structured, usable intelligence.

xMentium extracts high-accuracy metadata and insights from your proprietary documents, creating a trusted data foundation that people, applications, analytics, and AI can reliably use at scale.

Unlock complex document data

Extract critical information from contracts, amendments, side letters, scans, tables, and other complex content.

Create structured enterprise knowledge

Transform fragmented document content into consistent metadata, relationships, and reusable structured data.

Make proprietary intelligence usable

Turn decades of operational knowledge into decision-ready data for people, analytics, applications, and AI.

Enrich the systems you already use

Put structured intelligence to work across existing platforms and workflows, without replacing your technology stack.

03 How It Works

Purpose-built for complex rights and deal documents at scale.

Rights and deal documents are complex, with critical information embedded across text, scans, tables, and layouts. A special processing engine is required to maximize accuracy, speed, and scale and minimize cost.

01

Ingest

Connect to your documents: import PDFs, scans, images, and other formats from existing repositories.

02

Classify

Create consistent structure: automatically classify documents against your defined taxonomy.

03

Decompose & Extract

Unlock the data inside: extract tables, metadata, content, and context into structured, machine-readable data.

04

Validate & Deliver

Put trusted data to work: validate results and deliver structured data directly to the systems and AI tools that need it.

04 The Need: Market Perspective

Market leaders agree: better data means better business outcomes.

Customers across every industry and segment moved from AI experimentation to deploying AI for real-world business outcomes. The winning companies are building intelligence platforms specifically so the value of AI accrues to the customer, not the model.

Judson AlthoffCEO, Microsoft Commercial Business

You want to ensure that your actions or any generated content is backed by trusted and verifiable data sources … When it comes to AI agents, it's not about feeding them everything. It's about feeding them the right things. You want precision, not just volume.

Kathy BaxterSalesforce

The acquired company had 30 years of technical documentation and customer records in various formats and systems. xMentium helped us extract and preserve critical operational knowledge that would have taken years to manually review, preventing significant knowledge loss during the integration.

VP of Corporate DevelopmentFortune 500 Industrial Company

Pull the thread on each of these cases [for GenAI], and it will lead back to data. Your data and its underlying foundations are the determining factors to what's possible with generative AI.

McKinsey & Company

We were flying blind. xMentium gave us rapid visibility into thousands of our contracts. We found missed obligations and billing correction opportunities in days.

VP, Revenue OperationsTier 1 Telecommunications Company

Building a modern data foundation is the first investment companies must make to realize the true value of AI and gen AI.

Accenture

As open source models close the performance gap with proprietary ones, the differentiator shifts from which model you use to what data you feed it.

Stanford Digital Economy Lab

Bad inputs lead to bad outputs. Organizations need to ensure the proprietary data they're feeding to AI models is reliable and accurate … Otherwise, it can make the model perform worse.

IBM

05 How We're Different

Built for complexity. Proven at scale.

xMentium combines specialized document processing with enterprise-scale architecture to deliver trusted, structured data across even the most complex rights and deal content.

Built for complex content

Extract intelligence across scans, dense tables, contracts, amendments, side letters, and other multimodal documents.

The right model for every job

Orchestrate OCR, VLMs, LLMs, custom models, and deterministic methods based on the content and task.

Proven accuracy at scale

Delivers ~95% extraction accuracy while processing 100K+ documents per day, with human review where it matters.

Outputs for your full stack

Deliver structured, reusable metadata upstream so AI, analytics, and workflows downstream operate on more dependable data.

Works within your existing tech stack

xMentium is a Microsoft AI Solutions Designation–certified Document Intelligence platform. We connect with your existing repositories, extract the intelligence inside, and deliver structured data for the systems that need it.

AzureSharePointFabricPurviewCopilotPower PlatformPower BIOpenTextRightslineDatabricksGoogle CloudAmazon Web Services

06 Media & Entertainment Use Cases

Put your industry's most valuable information to work.

Select a use case to explore

Research rights by title, territory, and window

Structure rights granted, territories, windows, restrictions, exclusivity, and holdbacks so teams can research where content can be used, for how long, and under what conditions.

Rights & Licensing

07 The Real Business Impact

From structured data to measurable business impact.

A consistent data layer across fragmented repositories supports cross-entity research, rights views, dashboards, business affairs and finance workflows, and grounded AI.

Case Study

Rights and Deal Intelligence Across a Major Studio's Collections

40
Metadata Fields per Deal
Multi-entity
Cross-collection Coverage
Human-in-loop
Quality-review Workflow

For a major media and entertainment studio, xMentium worked with licensing agreements across multiple entities, deal types, formats, and legacy collections.

xMentium defined a custom schema with up to 40 metadata fields and a human-in-the-loop quality-review workflow across licensing agreements spanning multiple entities, deal types, formats, and legacy collections.

The output provides a consistent data layer across fragmented repositories, supporting cross-entity research, rights views, dashboards, business affairs and finance workflows, and grounded AI.

08 FAQs

Your questions, answered.

01Why can't our existing AI tools analyze our documents?

AI can only act on information it can reliably find and understand. Critical intelligence is often trapped inside licensing agreements, talent deals, amendments, side letters, and other complex documents. xMentium turns that content into structured, contextualized data that AI, analytics, and operational systems can actually use.

02How can we trust AI-extracted data for critical decisions?

xMentium combines multiple extraction techniques with confidence scoring and human-in-the-loop validation, delivering greater than 95% extraction accuracy, even across complex structured and unstructured content, creating traceable, dependable data.

03Can xMentium handle complex documents, not just PDFs and text?

Yes. xMentium is built for the documents that break conventional extraction approaches, including drawings, diagrams, scans, spreadsheets, nested tables, and specifications. It applies the right combination of OCR, visual language models, LLMs, and deterministic methods.

04Do we need to migrate our documents or replace our existing systems?

No. xMentium works with your existing repositories and enterprise systems. Your documents can stay where they are while xMentium makes the intelligence inside them available to business affairs, finance, analytics, and other downstream systems.